The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach
DOI: 10.1016/j.amar.2019.100091
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Summary
This study investigates the discrepancies between perceived (self-reported) and observed (actual) aggressive driving behavior, specifically examining how driver fatigue, gender, and distracted driving conditions influence these behavioral components. Aggressive driving is a primary contributor to high-severity accidents, yet drivers often misidentify their own behavior due to subjective perceptions or unconscious risk compensation. The research aims to determine if the determinants of perceived and observed aggression differ across groups defined by fatigue status, gender, and distraction types (internal, such as rushing or mind-wandering, and external, such as listening to music). The analysis utilizes data from driving simulation experiments involving 41 participants who completed a 4-mile route under various scenarios. Data collection included pre- and post-simulation surveys capturing socio-demographic attributes, driving history, and self-reported fatigue and distraction levels, alongside moderator-observed aggressive incidents (e.g., tailgating, speeding, unsafe lane changes). The study employs a correlated grouped random parameters bivariate probit modeling framework. This approach simultaneously models perceived and observed aggressive driving as binary outcomes, accounting for unobserved heterogeneity and the correlation between the two behavioral components. Separate models were estimated for fatigued versus non-fatigued, distracted versus non-distracted, and male versus female drivers to capture group-specific variations. Results indicate that the effects of socio-demographic and behavioral factors on aggressive driving vary significantly in magnitude and direction across the defined groups. For instance, fatigued participants from suburban or rural backgrounds were less likely to drive aggressively, potentially due to heightened alertness developed from navigating complex infrastructure. Education level also influenced perception; fatigued participants with post-graduate degrees were less likely to perceive their driving as aggressive. Accident history affected both behaviors, with non-involvement in accidents decreasing the likelihood of observed aggression for non-fatigued drivers but increasing their likelihood of perceiving themselves as aggressive. The identification of significant correlations among unobserved characteristics highlights the complexity of driving decision mechanisms, particularly when fundamental sources of aggression like fatigue or distraction are present. The findings underscore that perceived and observed aggressive driving are distinct phenomena influenced differently by driver states and demographics. The study demonstrates that traditional univariate models may miss critical interactions between perception and actual behavior. By accounting for unobserved heterogeneity and cross-equation correlations, the research provides a more nuanced understanding of how fatigue and distraction distort driver self-assessment. These insights are significant for transportation safety, suggesting that interventions targeting aggressive driving must consider the disconnect between driver perception and actual performance, particularly among fatigued or distracted populations.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-07 |
| archive | success | canonical_url | — | — | 7 | 2026-06-09 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-09 |
| chunk | success | chunk | — | — | 1 | 2026-06-09 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-09 |
| enrich | success | semantic_scholar | — | — | 1 | 2026-06-10 |
| promote | success | — | — | — | 1 | 2026-06-07 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 8 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: observational prevalence, behavioral performance data
- Theoretical Contribution: theory or model